Research Methods
Research Design and Methodology
Qualitative research methodology will be used for this research study, the primary rationale of this qualitative research is to analysis the risks associated with cloud security. Qualitative Research is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research (Leedy, Ormrod, 2010). Since security concerns about cloud computing are heightened and fueled by misconceptions related to security and compliance risks. Unfortunately, these security concerns are seldom expressed quantifiably. The qualitative aspect of this research will be to bring clarity to cloud security, compliance, and business risks and creates a framework that can help align perceived risks of cloud computing with actual risks (Himmel 2012). Regardless of the field of study or preference for defining data (quantitative, qualitative) (Leedy, Ormrod, 2010), accurate data collection is essential to maintaining the integrity of research and accessibility of research data in a rapidly evolving digital age will take the collective efforts of universities and other research institutions (SecienceDaily, 2009). The justification for preserving data integrity is to support the detection of errors in the data collection process, For this research, data collection refers to the process of gathering and measuring information on variables of interest in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. Although, data collection methodologies vary by projects, the aim of successful data collection should always be to uphold the integrity of the project, the institution, and the researchers involved. Therefore, the collection of data for this study, will be pertaining to, but not limited to: cloud computing, cloud security, and security protocols from
Qualitative research methodology will be used for this research study, the primary rationale of this qualitative research is to analysis the risks associated with cloud security. Qualitative Research is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research (Leedy, Ormrod, 2010). Since security concerns about cloud computing are heightened and fueled by misconceptions related to security and compliance risks. Unfortunately, these security concerns are seldom expressed quantifiably. The qualitative aspect of this research will be to bring clarity to cloud security, compliance, and business risks and creates a framework that can help align perceived risks of cloud computing with actual risks (Himmel 2012). Regardless of the field of study or preference for defining data (quantitative, qualitative) (Leedy, Ormrod, 2010), accurate data collection is essential to maintaining the integrity of research and accessibility of research data in a rapidly evolving digital age will take the collective efforts of universities and other research institutions (SecienceDaily, 2009). The justification for preserving data integrity is to support the detection of errors in the data collection process, For this research, data collection refers to the process of gathering and measuring information on variables of interest in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. Although, data collection methodologies vary by projects, the aim of successful data collection should always be to uphold the integrity of the project, the institution, and the researchers involved. Therefore, the collection of data for this study, will be pertaining to, but not limited to: cloud computing, cloud security, and security protocols from